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Deep Learning for Automated Segmentation of Liver Lesions at CT in Patients with Colorectal Cancer Liver Metastases

PURPOSE: To evaluate the performance, agreement, and efficiency of a fully convolutional network (FCN) for liver lesion detection and segmentation at CT examinations in patients with colorectal liver metastases (CLMs). MATERIALS AND METHODS: This retrospective study evaluated an automated method usi...

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Detalhes bibliográficos
Publicado no:Radiol Artif Intell
Main Authors: Vorontsov, Eugene, Cerny, Milena, Régnier, Philippe, Di Jorio, Lisa, Pal, Christopher J., Lapointe, Réal, Vandenbroucke-Menu, Franck, Turcotte, Simon, Kadoury, Samuel, Tang, An
Formato: Artigo
Idioma:Inglês
Publicado em: Radiological Society of North America 2019
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8017429/
https://ncbi.nlm.nih.gov/pubmed/33937787
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/ryai.2019180014
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